Unsupervised Learning
Engineering and Technology
Short Description
Learn how to distill messy data into meaningful groups with unsupervised machine learning.
Long Description
In the course Unsupervised Learning on Udacity, you will learn the fundamentals of clustering data and how to apply the K-means algorithm to cluster data. Additionally, you will explore hierarchical and density-based clustering methods such as Single Linkage Clustering and DBSCAN, which can capture the density of clusters. The course also covers Gaussian Mixture Models for clustering data and teaches you how to optimize them using Expectation Maximization. Furthermore, you will learn about dimensionality reduction techniques like Principal Component Analysis and Independent Component Analysis to reduce the dimensionality of data. Finally, the course includes a project where you will apply unsupervised learning techniques to identify customer segments hidden in product spending data from a wholesale distributor in Lisbon, Portugal.
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Course Details
- Duration
- 4 weeks
- Difficulty
- Intermediate
- Format
- Short Course
- Price
- USD399.00
- Course Link More Information